Identification of the nonlinear model proposed by the MIT for power transformers by applying genetic algorithms

IEEE Latin America Transactions

Volumn 7, Issue 6, 2009, Pages 636-642

  Pérez, Rómulo ^a   Matos, Enrique ^b   Fernández, Sergio ^c  

^a Departamento de Ingenieria Qumica   (Venezuela)

^b UNIVERSIDAD DE CIENFUEGOS CARLOS RAFAEL RODRÍGUEZ   (Cuba)

^c NATL CENTER FOR SCIENTIFIC RESEARCH   (Cuba)

Author keywords

Diagnosis; Genetic algorithms; Identification; Parameter estimation; Power transformer

Indexed keywords

IDENTIFICATION; LEAST SQUARE; MONITORING SYSTEM; NON-LINEAR MODEL; ON-LINE DIAGNOSIS; POWER TRANSFORMER DIAGNOSIS; TOP OIL TEMPERATURE; VENEZUELA;

GENETIC ALGORITHMS; METAL ANALYSIS; OIL FILLED TRANSFORMERS; POWER TRANSFORMERS; TRANSFORMER SUBSTATIONS;

PARAMETER ESTIMATION;

EID: 77957951481     PISSN: 15480992     EISSN: None     Source Type: Journal    
DOI: 10.1109/TLA.2009.5419360     Document Type: Article

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